Service Quality and Mega Construction Project Success in Chinese Telecommunication Firms: The Moderating Effects of GAI Technology Application and Digital Human-AI Integration.

This study investigates the relationship between service quality and mega construction project success in Chinese telecommunication firms, with a specific focus on the moderating effects of Generative Artificial Intelligence (GAI) technology application and digital Human-AI integration. Using the SERVQUAL framework as a theoretical foundation, this research employs a mixed methods approach combining structural equation modeling (SEM) and fuzzy-set Qualitative Comparative Analysis (fsQCA) to analyze data collected from 278 telecommunications firms engaged in mega construction projects in China. Results indicate that service quality significantly impacts project success, while GAI technology application and Human-AI integration positively moderate this relationship. The findings reveal specific configurational paths to project success, providing valuable insights for telecommunications industry practitioners and policymakers. This study contributes to the literature by developing an integrated theoretical framework that connects service quality dimensions with mega construction project outcomes in the digital transformation context of the telecommunications sector.